Agil visualisering och dataanalys

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1 Agil visualisering och dataanalys True Business and IT collaboration in Analytics Niklas SAPSA Impuls 2014

2 Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP s willful misconduct or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP AG. All rights reserved. 2

3 New Challenges for IT Data is getting BIG User expectations have CHANGED 2014 SAP AG. All rights reserved. Internal 3

4 Re-emergence of Data Silos IT Business Users 2014 SAP AG. All rights reserved. 4 Internal

5 New Challenges for Business Radically Speed Up Time to Insight Create a dataset based multiple sources Mash datasets up with other data with trust in the numbers Easily create own hierarchies, calculations and measures Inspire Action with Insights Create compelling visualizations that grab attention Link visualizations together into stories and infographics that highlight important points and trigger action Spread the Word! Seamlessly share with others and seamlessly hand over to IT when your requirements get more complex! 2014 SAP AG. All rights reserved. 5

6 Re-emergence of Data Silos Extending self-service analytics IT Business Users 2014 SAP AG. All rights reserved. 6

7 SAP s Trusted Data Discovery Fast time to insight Agility for Business Users Excel Data Discovery Vendors Trusted Data Discovery Enterprise BI Unlock hidden patterns in data Build beautiful, custom visualizations and stories Agility for the business Download and use quickly no IT involvement needed Mash up corporate and personal data Leverage IT s expertise Leverage IT infrastructure One single platform to administer Optimized for big data Enterprise scale and governance 2014 SAP AG. All rights reserved. 7

8 SAP BusinessObjects BI Solutions Understand the BI Portfolio Build Engaging Experiences Deliver engaging information to users where they need it Track key performance indicators and summary data Build custom experiences - users get what they need quickly Agile Visualization Dashboards and Apps Reporting Reporting Discover. Predict. Create. Discover areas to optimize your business Adapt data to business needs Tell your story with beautiful visualizations Distribute Information Securely distribute information across your organization Answer related questions by interacting with pre-defined reports Build printable reports for operational efficiency 2014 SAP AG. All rights reserved. Internal 8

9 SAP BusinessObjects BI Solutions Tuned for Key Use Cases Professionally Authored Where there is a significant complexity to the BI content Standardized formats, sophisticated design, complex data mashups, or high levels of governance. Separates the creation environment from the consumption environment. Professionally Authored Agile Visualization Dashboards and Apps Reporting Self Service Self Service Not a product, but a way of working with software Business user, analyst, or executive answering their own questions Mobile or web based self service Combines the creation and consumption environment into a single seamless experience 2014 SAP AG. All rights reserved. Internal 9

10 Interoperability Planned Simplification of the SAP BI Client Portfolio Crystal Reports Web Intelligence Desktop Intelligence Crystal Reports Web Intelligence Reporting Set Analysis Lumira Desktop/Cloud/Server Explorer Analysis OLAP Lumira Discovery and Analysis Design Studio Dashboards Design Studio Dashboards & Applications Analysis Office Live Office BI Widgets Analysis Office Office Integration 2014 SAP AG. All rights reserved. Internal 10

11 Lumira Server integrated and included with the BI Suite Integrate SAP Lumira Server into SAP BusinessObjects BI 4.1 landscapes: SAP Lumira Server BI SAP AG. All rights reserved. Internal 11

12 SAP Lumira Customer: Honeywell Combining SAP HANA with SAP Lumira has empowered many end-users across Honeywell with the ability to combine multiple sets of data and deliver a cohesive set of information that can be quickly explored and visualized. ( ) What typically took analysts a week to perform, using disparate datasets and tools, has been shrunk into only a few hours or less! Dennis Scoville, IT Program Manager and BI evangelist, Honeywell Aerospace More information: Empowered Self-Service with SAP Lumira and SAP HANA Webinar 2014 SAP AG. All rights reserved. 12

13 SAP Lumira add-on to BI platform Landscape view BI 4.1 launch pad SAP Mobile BI Lumira Add-On* Lumira Desktop * SAP BusinessObjects BI, add-on for SAP Lumira BI 4.1 Platform Lumira Server 2014 SAP AG. All rights reserved. 13

14 Customer References Honeywell Aerospace: Empowered Self-Service with SAP Lumira and SAP HANA Webinar Daimler Trucks: Video: Kingfisher: NFL: Eli Lilly: Customer testimonial: Norwegian Cruise Line, NFL, Seoul University: Data Geek inspirational visualizations: SAP AG. All rights reserved. Internal 14

15 The SAP Difference SAP provides a comprehensive portfolio of BI solutions that will full fill all your current and future needs. 1) An Enterprise Platform that provides a Trusted Data Source and Governance of Access 2) Specialized reporting and dash boarding solutions that keep business users informed without requiring any solution training 3) Self Service solution for Data Visualization and Discovery to allow business users to analyze data easily and answer questions like why it happened 2014 SAP AG or an SAP affiliate company. All rights reserved. SAP Internal Use Only 15

16 User Engagement Collective Insight How analytics needs to evolve Optimization Agile Visualization Predictive Modeling Generic Predictive Analysis What is the best that could happen? End-to-end Easy adoption Fast implementation Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Self Service BI Why did it happen? What will happen? Business focused Enable storytelling What happened? Maturity of Analytics Capabilities

17 Our Vision for Advanced Analytics Embed Smart Agile Analytics into Decision Processes to Deliver Business Impact Bringing Predictive Analytics to a broad spectrum of users Beyond data scientist to business analysts and application developers; Userfriendly interfaces and advanced data visualization; Self-service Operationalize predictive models across the enterprise Embedding predictive into business processes; Leverage predictive with Industry and LoB Solutions Reduce Decision Latency with Advanced Analytics In-database in-memory predictive; Harnessing power of big data by mining unstructured data. Enterprise-ready; Seamless integration with 3rd Party and Open-Source (Hadoop, R); Cloud or On-Premise

18 Advanced Analytics for all types of Users Data Scientist Create complex predictive models and simulations Validate predictive business requirements Publish results back to source.001% Data Analysts Transform and enrich data source(s) Create simple predictive models and simulations Visualize results and publish to BI Platform Executives/ Business Users Interact with published predictive analysis Visualize results in context of use case Collaborate with colleagues toward closure/action ~3% 97% Representative User Base

19 Comparison between traditional approaches and SAP We re doing more models, in less time and getting better results.

20 SAP Advanced Analytics is.. Traditional Data Mining Fast Predictive analytics process made efficient through modeling automation Actionable Optimize actions applying Analytics to information, processes and apps Easy No PhD required! Big Data Ready No need to select data, hence excluding information We re doing more models, in less time and getting better results.

21 SAP Advanced Analytics Solutions Embed Advanced Analytics into Decision Processes to Deliver Business Impact 2014 SAP AG or an SAP affiliate company. All rights reserved. SAP Internal Use Only 21

22 Questions!

23 Thank you! Niklas

24 Unleash your Collective Insight today ENGAGE sapbusinessobjectsbi.com VISUALIZE saplumira.com Real-time Platform saphana.com PREDICT sap.com/predictive

25 This presentation and SAP s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice SAP AG. All rights reserved. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Please see for additional trademark information and notices.

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